Temporal networks in Python. Provides fast tools to analyze temporal contact networks and simulate dynamic processes on them using Gillespie's SSA.
-
Updated
May 22, 2020 - C++
#
contact-networks
Here are 3 public repositories matching this topic...
EpiSimulator: A Data-Driven Stochastic Hybrid Model for COVID-19 in Italy.
social-network
network-science
metapopulation
graph-theory
temporal-networks
applied-mathematics
agent-based-modeling
dynamical-systems
differential-equations
stochastic-processes
mathematical-physics
agent-based-simulation
behavioral-modelling
contact-networks
computational-epidemiology
digital-epidemiology
mathematical-epidemiology
mobility-networks
network-epidemiology
epidemic-modelling
-
Updated
Dec 25, 2022 - Jupyter Notebook
Code and data for the paper "Assessing the Dynamics and Control of Droplet- and Aerosol-Transmitted Influenza Using an Indoor Positioning System" Edit Add topics
-
Updated
Jan 13, 2020 - HTML
Improve this page
Add a description, image, and links to the contact-networks topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the contact-networks topic, visit your repo's landing page and select "manage topics."